Electronic nose presentation1
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The document discusses electronic noses, including their components, working, types of sensors used, and applications. An electronic nose consists of sensor arrays and pattern recognition systems like artificial neural networks to identify chemicals and odors. It can be used to detect spoilage of food, diagnose diseases, and ensure product quality in various industries. Temperature, electrochemical, metal oxide and conducting polymer sensors are commonly used in electronic noses to detect different vapors and odors.
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Electronic nose presentation1
- 1. Made by: Vidhi Shah (16BEC070) Mehul Makwana (16BEC083) Guided by: Prof. Piyush Bhatasana 09/22/18Institute of Technology, Nirma University1 Seminar presentation onSeminar presentation on Electronic noseElectronic nose
- 2. Contents 09/22/18Institute of Technology, Nirma University Introduction What is an electronic nose? Block diagram and working What are sensors? Classification of Sensors Temperature sensors Electrochemical sensors Metal oxide Sensors Conducting polymers Artificial Neural Networks
- 3. Introduction 09/22/18Institute of Technology, Nirma University3 Electronic devices or sensors dominate everywhere!
- 4. What is an Electronic nose? 09/22/18Institute of Technology, Nirma University4 An electronic nose is a device that identifies the specific components of an odour and analyzes its chemical makeup to identify it. An electronic nose consists of a mechanism for chemical detection. For example, the Cyranose 320 is a handheld “electronic nose” developed by Cyrano Sciences of Pasadena, California.
- 5. 09/22/18Institute of Technology, Nirma University5 Source:https://www.google.co.in/search? biw=1366&bih=651&tbm=isch&sa=1&ei=wW3FWrf8FMXM0ATCqJe4CA&q=cyranose+320+images&oq=cyranose+320+images&gs_ l=psy-ab.3...1009.2497.0.2696.7.7.0.0.0.0.312.736.2-2j1.3.0....0...1c.1.64.psy-ab..4.1.310...0i30k1j0i24k1.0.lA4IBc0XSEg
- 6. 09/22/18Institute of Technology, Nirma University6
- 7. Need of an E-nose!Need of an E-nose! 09/22/18Institute of Technology, Nirma University7
- 8. Block diagram and Working 09/22/18Institute of Technology, Nirma University8
- 9. 09/22/18Institute of Technology, Nirma University9 Source: made in Paint 3D
- 10. What are Sensors? 09/22/18Institute of Technology, Nirma University10 A sensor is a device that detects and responds to some type of input from the physical environment.
- 11. Classification of Sensors 09/22/18Institute of Technology, Nirma University11 The classification of sensors are as follows: Electrochemical sensor Infrared sensor Conducting polymers Metal oxide sensor Piezoelectric sensor Thermal sensors
- 12. 09/22/18Institute of Technology, Nirma University12 Temperature Sensor!Temperature Sensor!
- 13. Types of temperature sensors 09/22/18Institute of Technology, Nirma University13 A temperature sensor consists of two basic physical types: i. Contact Temperature sensor types ii. Non-contact temperature sensor types
- 14. 09/22/18Institute of Technology, Nirma University14
- 15. Electrical Temperature Sensors 09/22/18Institute of Technology, Nirma University15 i. Thermistor ii. Resistance temperature device(RTD) iii. Thermocouple iv. Semiconductor Sensors
- 16. Thermistor 09/22/18Institute of Technology, Nirma University16 Principle Symbol Types: PTC and NTC Thermistor Characteristic Applications
- 17. Resistance Temperature devices(RTD) 09/22/18Institute of Technology, Nirma University17 Principle Symbol Construction Working Applications Advantages Disadvantages
- 18. Thermocouple 09/22/18Institute of Technology, Nirma University18 Principle Symbol Working Thermocouple types Junction styles Applications Advantages Disadvantages
- 19. 09/22/18Institute of Technology, Nirma University19 Source:https://www.google.co.in/search? q=working+of+thermocouple+images&source=lnms&tbm=isch&sa=X&ved=0ahUKEwjQu7Tn8KHaA hVBo5QKHRLDAUcQ_AUICygC&biw=1366&bih=651
- 20. 09/22/18Institute of Technology, Nirma University20 Source:https://www.google.co.in/search? biw=1366&bih=651&tbm=isch&sa=1&ei=PW7FWs6AE4Wt0gS9v73YDg&q=juctions+styles+of+therm ocouple+images&oq=juctions+styles+of+thermocouple+images&gs_l=psy- ab.3...84720.96176.0.96293.67.37.0.0.0.0.791.4897.0j1j6j5j0j1j1.14.0....0...1c.1.64.psy- ab..53.6.2292...0j0i10k1j0i13i5i30k1j0i8i13i30k1.0.gsmN1xc0b5Y
- 21. Semiconductor sensors 09/22/18Institute of Technology, Nirma University21 Come in the form of ICs Types Offers high linearity and high accuracy. Examples: AD590 and LM35
- 22. Electrochemical sensor!Electrochemical sensor! 09/22/18Institute of Technology, Nirma University22
- 23. 09/22/18Institute of Technology, Nirma University23 Major components Principle Working Conclusion Basic sensor
- 24. 09/22/18Institute of Technology, Nirma University24 Typical Electrochemical sensor setup
- 25. 09/22/18Institute of Technology, Nirma University25 Hydrophobic membrane prevents liquid electrolyte from leaking out
- 26. Metal Oxide semiconductor sensorsMetal Oxide semiconductor sensors 09/22/18Institute of Technology, Nirma University26
- 27. 09/22/18Institute of Technology, Nirma University27
- 28. Conducting PolymersConducting Polymers 09/22/18Institute of Technology, Nirma University28
- 29. 09/22/18Institute of Technology, Nirma University29
- 30. 09/22/18Institute of Technology, Nirma University30 Artificial Neural NetworksArtificial Neural Networks
- 31. IntroductionIntroduction 09/22/18Institute of Technology, Nirma University31 An artificial neural network (ANN) is either a hardware implementation or a computer program which strives to simulate the information processing capabilities of its biological exemplar. ANNs are typically composed of a great number of interconnected artificial neurons. The artificial neurons are simplified models of their biological counterparts. ANN is a technique for solving problems by constructing software that works like our brains.
- 32. Architecture of Neural Networks!Architecture of Neural Networks! 09/22/18Institute of Technology, Nirma University32
- 33. Why use Neural Networks?Why use Neural Networks? 09/22/18Institute of Technology, Nirma University33
- 34. How does ANN work?How does ANN work? 09/22/18Institute of Technology, Nirma University34
- 35. 09/22/18Institute of Technology, Nirma University35 ∑= X1+X2 + ….+Xm =y Input Processing Output x1 x2 x3 ∑ y
- 36. 09/22/18Institute of Technology, Nirma University36 Not all inputs are equal x1x2xm ∑ y w1w2 wm . . . . . . . . . . . . . . . . . Input Weights Processing Output
- 37. ANN in an Electronic Nose!ANN in an Electronic Nose! 09/22/18Institute of Technology, Nirma University37
- 38. Applications of an Electronic NoseApplications of an Electronic Nose 09/22/18Institute of Technology, Nirma University38
- 39. 09/22/18Institute of Technology, Nirma University39
- 40. ReferenceReference 09/22/18Institute of Technology, Nirma University40 https://www.elprocus.com/electronic-nose-work/ http://www.seminarsonly.com/electronics/E%20Nose.php https://www.edgefx.in/6-different-types-of-temperature-sensors- with-their-specifications/ Examples: Handbook of Modern Sensors, Jacob Fraden, Springer https://www.slideshare.net/MercyMartina/artificial- neural-networks-for-enose https://www.slideshare.net/deblina92/electronic-nose1
- 41. 09/22/18Institute of Technology, Nirma University41
Editor's Notes
- In an ever-developing world, where electronic devices are duplicating every other sense of perception like e-tongue, e-skin, hearing aids and electronic eye, the sense of smell is lagging behind. Yet, recently, there has been an urgent increase in the need for detecting odours, to replace the human job of sensing and quantification.
- , such as an array of electronic sensors, and a mechanism of pattern recognition, such as a neural network
- The human sniffers are costly when compared to electronic nose. o Speedy, reliable new technology of the gas sensors are used in the electronic nose. o Detection of hazardous or poisonous gas is not possible with a human sniffer. o An e-nose also overcomes other problems associated with the human olfactory system. o For the confirmation of the values obtained from a sniffer the result obtained from the sniffer has to be compared with some other sniffer’s value. o There lies a great chances of difference in the values got by each individual.
- An aroma delivery system, which transfers the volatile aromatic molecules from the source material to the sensor array system. A chamber where sensors are housed: this has usually fixed temperature and humidity, which otherwise would affect the aroma molecules adsorption. An electronic transistor which converts the chemical signal into an electrical signal, amplifies it. A digital converter that converts the signal from electrical (analog) to digital. A computer microprocessor which reads the digital signal and displays the output after which the statistical analysis for sample classification or recognition is done.
- The specific input could be light, heat, motion, moisture, pressure, or any one of a great number of other environmental phenomena.
- The world is getting warmer day by day.’ This sentence has started to crop up every now and then in our day to day lives. But seldom do we wonder what it means. What is warmer? How warm is warm? Is it hotter than hot, or just hotter than cold? To our human senses, temperature is only a subjective evaluation. For an objective and reproducible measurement, we need to quantify the temperature values, and to do that, a suitable measurement device is required. This is achieved through the use of temperature sensors
- Thermostat is one of the example of contact temperature type sensor.
- In clean air, donor electrons in tin dioxide are attracted toward oxygen which is adsorbed on the surface of the sensing material, preventing electric current flow. In the presence of reducing gases, the surface density of adsorbed oxygen decreases as it reacts with the reducing gases. Electrons are then released into the tin dioxide, allowing current to flow freely through the sensor.
- The gas sensors fabricated by using conducting polymers such as polyaniline (PAni), polypyrrole (PPy) and poly (3,4-ethylenedioxythiophene) (PEDOT) as the active layers. organic polymers that conduct electricity.[8]
- An artificial neural network consists of a pool of simple processing units which communicate by sending signals to each other over a large number of weighted connections.